Data Scientist

Snoonu; Doha; On-site; QAR 250,000 - 350,000; Full time

Benefits offered by this job

Global Vibes

Brain Boosters

Builder’s Playground

Flexible Time Off

Agile Everything

Job summary

Snoonu is seeking a senior data scientist to lead time series forecasting and optimization efforts for its Doha-based logistics network. You will design, implement, and validate models that improve ETA, preparation times, and demand forecasting, while collaborating with ML engineers, backend teams, and product managers.

Responsibilities include experiments, robust benchmarking, and deploying retrainable pipelines.

Qualifications

• Advanced degree in data science, statistics, maths, CS, or related field.
• 5+ years in data science / ML with time series or optimization focus.
• Hands-on time series methods: ARIMA, Prophet, TFT, DeepAR, N-BEATS.
• Experience with optimization solvers (LP, MILP, OR-Tools, PuLP).
• Proficiency in Python data stack (Pandas, NumPy, Scikit-learn).
• Experience deploying ML models at scale and monitoring retraining pipelines.

Responsibilities

• Lead R&D for forecasting and optimization models.
• Design experiments, benchmarks, and robustness testing.
• Develop production ML pipelines with monitoring and retraining.
• Collaborate with ML, backend, researchers, and product teams.
• Drive A/B testing and quantify impact on logistics KPIs.
• Mentor junior engineers and promote best practices in modeling and coding.

Skills

Time series forecasting

Optimization methods

Python data stack

A/B testing

Big data / SQL

Cloud ML deployment

Education

MSc in Data Science / related

PhD (nice to have)

Tools

OR-Tools

PuLP

TensorFlow / PyTorch

LightGBM

BigQuery

Job description

Welcome to Your Next Adventure!

Lead the research, development, and implementation of advanced time series forecasting models to optimise logistics operations, including ETA prediction, preparation times, and demand forecasting. Design and implement optimization algorithms and solvers to improve logistics network efficiency, route planning, and resource allocation. Design and conduct rigorous experiments to test, validate, and benchmark models under various real-world scenarios, ensuring robustness and accuracy. Fine-tune, deploy, and monitor ML models and applications in production, maintaining retraining pipelines and ensuring model performance over time. Collaborate with ML engineers, backend engineers, researchers, and product engineers in a cross-functional setting to identify key operational challenges and develop innovative data-driven solutions. Conduct A/B tests and other experimentation techniques to evaluate model impact and drive continuous improvement across logistics KPIs. Translate complex analytical results into actionable business insights, presenting findings to senior leadership and stakeholders. Provide technical leadership in data science, mentoring junior team members and driving best practices in modelling, experimentation, and code quality. Stay up-to-date with the latest advancements in AI, ML, and operations research, integrating cutting‑edge techniques into logistics solutions.

The Magic You Bring

• MSc in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field.
• Nice to Have: PhD in Data Science, Statistics, Computer Science, Electrical Engineering, or equivalent industrial experience.
• 5+ years of experience in data science, machine learning, or statistical modelling, with a strong focus on time series forecasting and/or optimisation problems.
• Extensive hands‑on experience with time series forecasting methods (e.g., ARIMA, Prophet, Light GBM, TFT, Deep AR, N-BEATS) and regression/classification models.
• Practical experience with optimisation techniques and solvers (e.g., linear programming, mixed‑integer programming, heuristic methods, OR-Tools, PuLP, or similar).
• Proficiency in Python, including libraries such as Pandas, Num Py, Scikit-learn, Optuna, Light GBM, Tensor Flow, or PyTorch.
• Practical experience in developing and deploying ML models at scale, including monitoring and retraining pipelines.
• Practical experience in A/B testing and other experimentation techniques.
• Strong experience handling large datasets and proficiency with SQL databases (Big Query, Redash, or others).
• Experience with cloud platforms such as AWS (ECS, S3, Lambda, Step Functions), GCP (Big Query, Vertex AI), and/or Databricks for ML model development and deployment.
• Proven experience in the delivery and logistics industry, with a strong understanding of its operational challenges and optimisation opportunities (a plus)

Inside Snoonu’s Universe

Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing‑fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.

The Dream We’re Chasing

To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.

The Quest We’re On

To radically transform how people live by leveraging technology to connect them with endless possibilities.

Our Everyday Superpowers

• Be Customer Obsessed: “Focus on the customer and all else will follow.”
• Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”
• Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”
• Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”
• Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”
• It's All About People: “Be a team player; together we are stronger.”
• Real Builders Ship: “We turn ideas into products, plans into action, and challenges into opportunities.”

Perks & Worklife Magic At Snoonu

• Global Vibes – Collaborate with a worldwide crew.
• Brain Boosters – Learning budgets, access to courses, and tools for your growth.
• Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.
• Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.
• Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.

Great Place to Work® Certified

We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.

Certified for Excellence

Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world‑class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.

Beyond the Code: Giving Back Matters

We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco‑conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.

Diversity Isn’t Just a Buzzword

At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.

Let’s Build the Future Together